• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 2nd Jul 2024

• Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
• Significant experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
• Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
• Demonstrates a deep understanding of the modeling lifecycle
• Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
• Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
• Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
• Advanced skill in Python and R
• Advanced skill in SQL and querying (able to pull/transform your own data)
• Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
• Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
• Familiar with Data Engineering concepts
• Familiar with the use of standard ETL tools and techniques
• Familiar with the concepts and application of data mapping and building requirements
• Demonstrates a deep understanding of multiple data related concepts
• Familiar with Data Integration, Data Governance and Data Warehousing
• Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis
Desired Qualifications and Education Requirements:
All Data Scientist Roles
• Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
• Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management